When we have a structure like the Bayes Network (one parent with many childs), the Belief Propagation behave in a strange way: cliques are created correctly (i.e. one Clique contains one child and the parent) but when the messages pass from one clique to the root, all information is lost (the passing message has no domain).
See 49f2b8f1b38386da51e824e6ace8217085234b3d for details.
When we have a structure like the Bayes Network (one parent with many childs), the Belief Propagation behave in a strange way: cliques are created correctly (i.e. one Clique contains one child and the parent) but when the messages pass from one clique to the root, all information is lost (the passing message has no domain).
See 49f2b8f1b38386da51e824e6ace8217085234b3d for details.